Speaker
Daniel Schiller
(Institute for Theoretical Physics, Heidelberg University)
Description
We present MadAgents, an effective and communicative set of agents for working with MadGraph. Agentic installation, learning-by-doing training, user support, and autonomous simulation campaigns provide easy access to state-of-the-art simulations and accelerate LHC research. We show how MadAgents interact with inexperienced and advanced users, support a range of simulation tasks, and analyze the results. We also discuss the updated MadAgents implementation, with significantly improved answer reliability and the ability to improve through use.
Authors
Daniel Schiller
(Institute for Theoretical Physics, Heidelberg University)
Nikita Schmal
(Universität Heidelberg)
Tilman Plehn